RLMS dataset

Description

This dataset contains the data about job satisfaction described in: Bartolucci, F., Bacci, S., and Gnaldi, M. (2015), Statistical Analysis of Questionnaires: A Unified Approach Based on R and Stata, Chapman and Hall/CRC press

Usage

data(RLMS)

Format

A data frame with 1485 observations about four polytomous items with covariates:

marital

marital status of the respondent

education

educational level of the respondent

gender

gender of the respondent

age

age of the respondent

work

work status of the respondent

Y1

1st item response

Y2

2nd item response

Y3

3rd item response

Y4

4th item response

References

Bartolucci, F., Bacci, S., and Gnaldi, M. (2015), Statistical Analysis of Questionnaires: A Unified Approach Based on R and Stata, Chapman and Hall/CRC press

Examples

 data(RLMS)
 ## maybe str(RLMS)
 str(RLMS)
 

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(MLCIRTwithin)
Loading required package: MASS
Loading required package: limSolve
Loading required package: MultiLCIRT

Attaching package: 'MLCIRTwithin'

The following object is masked from 'package:MultiLCIRT':

    inv_glob

> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/MLCIRTwithin/RLMS.Rd_%03d_medium.png", width=480, height=480)
> ### Name: RLMS
> ### Title: RLMS dataset
> ### Aliases: RLMS
> ### Keywords: datasets education
> 
> ### ** Examples
> 
>  data(RLMS)
>  ## maybe str(RLMS)
>  str(RLMS)
'data.frame':	1485 obs. of  9 variables:
 $ marital  : int  1 1 1 0 0 0 0 0 0 0 ...
 $ education: int  3 3 3 4 3 5 2 5 2 5 ...
 $ gender   : int  1 0 0 1 0 1 0 1 0 0 ...
 $ age      : int  25 22 24 23 22 23 21 24 24 23 ...
 $ work     : int  1 1 1 1 1 1 1 1 1 1 ...
 $ Y1       : int  2 1 1 2 1 0 3 1 1 0 ...
 $ Y2       : int  2 1 1 1 1 0 2 1 1 0 ...
 $ Y3       : int  2 1 1 2 3 2 4 2 1 0 ...
 $ Y4       : int  NA 3 1 2 3 0 3 2 1 0 ...
>  
> 
> 
> 
> 
> dev.off()
null device 
          1 
>